Pandas Profiling Report

Dataset statistics

Number of variables	16
Number of observations	2009
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	237.6 KiB
Average record size in memory	121.1 B

Variable types

DateTime	1
Categorical	4
Numeric	11

Warnings

`username` has constant value "richardbranson"	Constant
`cashtags` has constant value "0"	Constant
`tweet` has a high cardinality: 2009 distinct values	High cardinality
`hashtags` is highly correlated with `number of tweets`	High correlation
`video` is highly correlated with `photos` and 2 other fields	High correlation
`photos` is highly correlated with `video` and 2 other fields	High correlation
`urls` is highly correlated with `video` and 2 other fields	High correlation
`replies_count` is highly correlated with `retweets_count` and 1 other fields	High correlation
`retweets_count` is highly correlated with `replies_count` and 1 other fields	High correlation
`likes_count` is highly correlated with `replies_count` and 1 other fields	High correlation
`number of tweets` is highly correlated with `hashtags` and 3 other fields	High correlation
`video` is highly correlated with `photos` and 5 other fields	High correlation
`photos` is highly correlated with `video` and 5 other fields	High correlation
`urls` is highly correlated with `video` and 5 other fields	High correlation
`replies_count` is highly correlated with `video` and 5 other fields	High correlation
`retweets_count` is highly correlated with `video` and 5 other fields	High correlation
`likes_count` is highly correlated with `video` and 5 other fields	High correlation
`number of tweets` is highly correlated with `video` and 5 other fields	High correlation
`video` is highly correlated with `photos` and 4 other fields	High correlation
`photos` is highly correlated with `video` and 2 other fields	High correlation
`urls` is highly correlated with `video` and 4 other fields	High correlation
`replies_count` is highly correlated with `retweets_count` and 1 other fields	High correlation
`retweets_count` is highly correlated with `video` and 4 other fields	High correlation
`likes_count` is highly correlated with `video` and 4 other fields	High correlation
`number of tweets` is highly correlated with `video` and 4 other fields	High correlation
`urls` is highly correlated with `video` and 3 other fields	High correlation
`replies_count` is highly correlated with `retweets_count` and 1 other fields	High correlation
`video` is highly correlated with `urls` and 4 other fields	High correlation
`mentions` is highly correlated with `video` and 2 other fields	High correlation
`retweets_count` is highly correlated with `replies_count` and 2 other fields	High correlation
`photos` is highly correlated with `urls` and 3 other fields	High correlation
`bins` is highly correlated with `price` and 1 other fields	High correlation
`number of tweets` is highly correlated with `urls` and 4 other fields	High correlation
`price` is highly correlated with `urls` and 3 other fields	High correlation
`hashtags` is highly correlated with `video` and 2 other fields	High correlation
`likes_count` is highly correlated with `replies_count` and 1 other fields	High correlation
`percent change` is highly correlated with `retweets_count` and 2 other fields	High correlation
`cashtags` is highly correlated with `bins` and 1 other fields	High correlation
`bins` is highly correlated with `cashtags` and 1 other fields	High correlation
`username` is highly correlated with `cashtags` and 1 other fields	High correlation
`retweets_count` is highly skewed (γ1 = 27.07167542)	Skewed
`likes_count` is highly skewed (γ1 = 28.92064342)	Skewed
`tweet` is uniformly distributed	Uniform
`date` has unique values	Unique
`tweet` has unique values	Unique
`mentions` has 389 (19.4%) zeros	Zeros
`hashtags` has 678 (33.7%) zeros	Zeros
`video` has 126 (6.3%) zeros	Zeros
`photos` has 211 (10.5%) zeros	Zeros
`urls` has 65 (3.2%) zeros	Zeros
`percent change` has 211 (10.5%) zeros	Zeros

Reproduction

Analysis started	2021-09-27 19:04:19.085795
Analysis finished	2021-09-27 19:04:38.063767
Duration	18.98 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

date
Date

UNIQUE

Distinct	2009
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

Minimum	2017-09-29 16:00:00
Maximum	2021-07-20 16:00:00

Histogram

Histogram with fixed size bins (bins=50)

tweet
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	2009
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

Climate change creates huge opportunities for innovation, not least in transportation. Here’s one example https://t.co/yEPnQFirpo #RunOnLess https://t.co/ypbp5RmDZl How to develop a team of leaders: https://t.co/P0qc7kD55K @virginmobilecan #readbyrichard https://t.co/PSKjZgaGoo Exciting project to modernise Saudi Arabia & welcome tourists to beautiful undiscovered country & stunning landscape https://t.co/jIFLJ10wBe https://t.co/GUmn8qxdKJ @apolloxxxx Thank you for your kind words @RdzSaint Forget one, here’s 65 – not all on entrepreneurship, but all useful for an entrepreneur https://t.co/wTT9njdKlh As a kid one of my heroes was Lawrence of Arabia. Treat to see this restored train he blew up in Saudi Arabia https://t.co/jIFLJ10wBe https://t.co/X2SDLsHQU8 @sarah_robes15 Thank you Sarah, that’s lovely to hear. Next up - #FindingMyVirginity @ErranteMec I’m delighted to hear you enjoyed it. My new autobiography is out next month too, so good timing! #FindingMyVirginity Visited incredible UNESCO World Heritage Site, Mada’in Saleh. Privelige to see this awe-inspiring ancient ruin https://t.co/jIFLJ10wBe https://t.co/CtHQ1Rprsf Quite an experience to be in Saudi Arabia on the day women were given the right to drive for the 1st time https://t.co/jIFLJ10wBe https://t.co/mdFeQz4Q94 Just enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe	1
What makes @Virgin really special is all our dedicated, talented, wonderful people: https://t.co/CT6Knd4qlj #VirginFamily https://t.co/lejArDCis4	1
Concerned to read about the new GCSE exam reforms. Due to a crackdown in grammar, students with a dyslexia diagnosis accepted by exam boards are penalised for every mistake https://t.co/H6NcQbYAPE #readbyrichard https://t.co/rLjuNZvPSB Shining a spotlight on some of the most special experiences that can be had through @VirginLimitedEd: https://t.co/fUqz4oyvzw #VirginFamily https://t.co/En71HqlMCC	1
Lovely to learn more about some of the team members who are bringing Scarlet Lady, @VirginVoyages' very first ship, to life: https://t.co/8y0LMbAmDe #VirginFamily https://t.co/pehVVB8y03 Here’s an interesting look into why we need to do more to protect the ocean: https://t.co/R8mpAhyFJP @oceanunite #ReadByRichard https://t.co/vZRHYFF1jY	1
@virgingalactic's VMS Eve arrives home to Spaceport America – a brilliant view from Chief Pilot Dave Mackay: https://t.co/fWbetBlzqG https://t.co/hZXyS52O4r A compelling analysis highlighting the simple economic logic of investing in clean energy https://t.co/gbhoPSJQHf #readbyrichard	1
Other values (2004)	2004

Length

Max length	2702
Median length	533
Mean length	591.1324042
Min length	2

Characters and Unicode

Total characters	1187585
Distinct characters	114
Distinct categories	16 ?
Distinct scripts	3 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2009 ?
Unique (%)	100.0%

Sample

1st row	Climate change creates huge opportunities for innovation, not least in transportation. Here’s one example https://t.co/yEPnQFirpo #RunOnLess https://t.co/ypbp5RmDZl How to develop a team of leaders: https://t.co/P0qc7kD55K @virginmobilecan #readbyrichard https://t.co/PSKjZgaGoo Exciting project to modernise Saudi Arabia & welcome tourists to beautiful undiscovered country & stunning landscape https://t.co/jIFLJ10wBe https://t.co/GUmn8qxdKJ @apolloxxxx Thank you for your kind words @RdzSaint Forget one, here’s 65 – not all on entrepreneurship, but all useful for an entrepreneur https://t.co/wTT9njdKlh As a kid one of my heroes was Lawrence of Arabia. Treat to see this restored train he blew up in Saudi Arabia https://t.co/jIFLJ10wBe https://t.co/X2SDLsHQU8 @sarah_robes15 Thank you Sarah, that’s lovely to hear. Next up - #FindingMyVirginity @ErranteMec I’m delighted to hear you enjoyed it. My new autobiography is out next month too, so good timing! #FindingMyVirginity Visited incredible UNESCO World Heritage Site, Mada’in Saleh. Privelige to see this awe-inspiring ancient ruin https://t.co/jIFLJ10wBe https://t.co/CtHQ1Rprsf Quite an experience to be in Saudi Arabia on the day women were given the right to drive for the 1st time https://t.co/jIFLJ10wBe https://t.co/mdFeQz4Q94 Just enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe
2nd row	My top ten quotes on inspiring leadership: https://t.co/CZ8XdWSm9z https://t.co/5eQHtxwivM Great to see @VirginMedia taking steps to better support disabled employees: https://t.co/l7Xqv7HhH4 https://t.co/7Utka0OpCP Some wonderful insight on what it means to be a modern leader in a @Virgin company: https://t.co/QFxvQ3VrsP #virginfamily #ReadByRichard https://t.co/alkxhgZZMt Enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe https://t.co/MeIdSTqiay One area ripe for innovation is trucking. Yes, trucking. This challenge showed how https://t.co/yEPnQFirpo #RunOnLess https://t.co/BLDhkSXBmx
3rd row	While I’m excited for the future, it’s interesting listening to reluctant futurist @benhammersley on #FutureVisions https://t.co/OINjUVo8j8 “Take every opportunity that presents itself” – great advice from CEO Merren McArthur: https://t.co/QFxvQ3VrsP #ReadbyRichard #VirginFamily https://t.co/M7KViw1lxQ So proud of my son @sambranson for making this moving documentary on the #BVI community, Help, hope & hurricanes https://t.co/rqaoJNEvug
4th row	Sustainable development advocate @MatsGranryd has joined @thebteamhq: https://t.co/4yZqBeIeUY https://t.co/8wI9eSvGgP While I have given up beef, could smarter grazing actually help reverse global warming? https://t.co/SsRsFltm2r #ReadbyRichard https://t.co/UWJC2xMMZa
5th row	My top ten quotes on inspiring leadership: https://t.co/CZ8XdWSm9z https://t.co/jIeRYXaHgY Supporting the animal populations of Necker & Moskito Island after the hurricanes: https://t.co/EtiGa2uRPy https://t.co/h7UPgeQCmU Fascinating insight on how gaming can be a force for good from @ian_livingstone and @playmob https://t.co/ICJ7Hm3EMZ #ReadbyRichard

Common Values

Value	Count	Frequency (%)
Climate change creates huge opportunities for innovation, not least in transportation. Here’s one example https://t.co/yEPnQFirpo #RunOnLess https://t.co/ypbp5RmDZl How to develop a team of leaders: https://t.co/P0qc7kD55K @virginmobilecan #readbyrichard https://t.co/PSKjZgaGoo Exciting project to modernise Saudi Arabia & welcome tourists to beautiful undiscovered country & stunning landscape https://t.co/jIFLJ10wBe https://t.co/GUmn8qxdKJ @apolloxxxx Thank you for your kind words @RdzSaint Forget one, here’s 65 – not all on entrepreneurship, but all useful for an entrepreneur https://t.co/wTT9njdKlh As a kid one of my heroes was Lawrence of Arabia. Treat to see this restored train he blew up in Saudi Arabia https://t.co/jIFLJ10wBe https://t.co/X2SDLsHQU8 @sarah_robes15 Thank you Sarah, that’s lovely to hear. Next up - #FindingMyVirginity @ErranteMec I’m delighted to hear you enjoyed it. My new autobiography is out next month too, so good timing! #FindingMyVirginity Visited incredible UNESCO World Heritage Site, Mada’in Saleh. Privelige to see this awe-inspiring ancient ruin https://t.co/jIFLJ10wBe https://t.co/CtHQ1Rprsf Quite an experience to be in Saudi Arabia on the day women were given the right to drive for the 1st time https://t.co/jIFLJ10wBe https://t.co/mdFeQz4Q94 Just enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe	1	< 0.1%
What makes @Virgin really special is all our dedicated, talented, wonderful people: https://t.co/CT6Knd4qlj #VirginFamily https://t.co/lejArDCis4	1	< 0.1%
Concerned to read about the new GCSE exam reforms. Due to a crackdown in grammar, students with a dyslexia diagnosis accepted by exam boards are penalised for every mistake https://t.co/H6NcQbYAPE #readbyrichard https://t.co/rLjuNZvPSB Shining a spotlight on some of the most special experiences that can be had through @VirginLimitedEd: https://t.co/fUqz4oyvzw #VirginFamily https://t.co/En71HqlMCC	1	< 0.1%
Lovely to learn more about some of the team members who are bringing Scarlet Lady, @VirginVoyages' very first ship, to life: https://t.co/8y0LMbAmDe #VirginFamily https://t.co/pehVVB8y03 Here’s an interesting look into why we need to do more to protect the ocean: https://t.co/R8mpAhyFJP @oceanunite #ReadByRichard https://t.co/vZRHYFF1jY	1	< 0.1%
@virgingalactic's VMS Eve arrives home to Spaceport America – a brilliant view from Chief Pilot Dave Mackay: https://t.co/fWbetBlzqG https://t.co/hZXyS52O4r A compelling analysis highlighting the simple economic logic of investing in clean energy https://t.co/gbhoPSJQHf #readbyrichard	1	< 0.1%
So excited to announce that @virgingalactic‘s spaceport is now operationally ready to host our remaining test flight program and welcome our very first Future Astronauts https://t.co/jfzCvaTOEu https://t.co/qojMoM4t6K	1	< 0.1%
@virgingalactic have revealed their Gateway to Space, an area within Spaceport America which features a lounge and spaceflight operations https://t.co/jfzCvaTOEu https://t.co/dcZHhpgC70 It’s so exciting to get the first glimpse inside Spaceport America and see where our journey to space will begin https://t.co/jfzCvaTOEu @virgingalactic https://t.co/VsYIN1mxwA Looking good team! Can’t wait to visit Sydney’s newest Virgin Active Australia club @VirginActiveOz https://t.co/QIRepdGOwJ https://t.co/GG40RNiCtA So lovely to hear that the couple embracing on the cover of the Woodstock soundtrack is still together, 50 years down the track. A nice read https://t.co/ywx4GMPVvH #readbyrichard https://t.co/2kCNjqZVZu Four drug policies proven to save lives https://t.co/a3KYuLga2f https://t.co/ZBxEIExsTI	1	< 0.1%
The world’s first passenger hyperloop system: https://t.co/2PaVGajm1U @Virgin @HyperloopOne https://t.co/kTcj05ZGG6 @Victor_OCHEN @_thenewnow @UNDPUganda @nikolajcw @RaftoFoundation @ICRC Truly inspiring Victor. Keep up the brilliant work @Blogger_Miriam @SparklesIsFancy @GoBrightline @VirginMiaCntrl @VirginTrains So sweet. Hope you both had a wonderful journey	1	< 0.1%
Being dyslexic, I always struggled with exams and ended up dropping out of school aged 16. I’m concerned to hear that recent reforms are making it even harder for students with dyslexia to reach their full potential https://t.co/0NaMtGHL4p @MadeByDyslexia #ALevelResultsDay https://t.co/qUcADPvX5E As exam results roll in, remember the alphabet goes from A to Z not A to E, and life is a lot more fun when you colour outside of the lines https://t.co/0NaMtGHL4p @MadeByDyslexia #alevelresults2019 https://t.co/Lfdj0aq0AO It’s results day and many students are weighing up their options for the future. I am often asked about the value of continuing with further education, and here are my thoughts: https://t.co/0NaMtGHL4p @MadeByDyslexia #alevelresultsday https://t.co/YAzOvADsP0 Great to see how this London university is making big steps to reduce its carbon footprint. Hopefully more follow suit https://t.co/EgIrCUAvd5 #readbyrichard https://t.co/Stb1M8HPfn	1	< 0.1%
@hkinder13 English Breakfast with a splash of milk and no sugar - always hot! @tom21ball Thanks Tom. Really glad you enjoyed it @HollyBranson @Virgin @virgingalactic Thanks Holly – there’s a lot of great memories So proud of the efforts of the teams who have turned the West Coast Main Line around from the struggling franchise it was when @VirginTrains took it over in 1997, to the top-rated service it is today https://t.co/7O7SmQbngd #VirginFamily https://t.co/rSkgdjJ5qw The recent period of uncertainty has been challenging for everyone at @VirginTrains, but I am so very proud of how hard they have all worked to maintain our high standards of customer experience https://t.co/7O7SmQbngd https://t.co/ZaMYxOmbsP Received the news of the DfT's decision that the West Coast Mainline franchise will pass to First Trenitalia. I am devastated for the @VirginTrains teams who have worked tirelessly to become the top-rated franchise by customers in the UK https://t.co/7O7SmQbngd #VirginFamily https://t.co/XO0l8bib5h	1	< 0.1%
Other values (1999)	1999	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	6189	4.0%
to	5422	3.5%
a	3305	2.2%
and	3049	2.0%
of	2903	1.9%
in	1939	1.3%
for	1825	1.2%
you	1488	1.0%
is	1443	0.9%
on	1432	0.9%
Other values (21083)	124121	81.1%

Most occurring characters

Value	Count	Frequency (%)
	163726	13.8%
t	95238	8.0%
e	80052	6.7%
o	67102	5.7%
i	58175	4.9%
a	56329	4.7%
n	54767	4.6%
s	53854	4.5%
r	47748	4.0%
h	42652	3.6%
Other values (104)	467942	39.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	822436	69.3%
Space Separator	163726	13.8%
Uppercase Letter	88045	7.4%
Other Punctuation	82219	6.9%
Decimal Number	24317	2.0%
Final Punctuation	3207	0.3%
Dash Punctuation	2206	0.2%
Connector Punctuation	710	0.1%
Initial Punctuation	365	< 0.1%
Close Punctuation	102	< 0.1%
Other values (6)	252	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	95238	11.6%
e	80052	9.7%
o	67102	8.2%
i	58175	7.1%
a	56329	6.8%
n	54767	6.7%
s	53854	6.5%
r	47748	5.8%
h	42652	5.2%
c	33336	4.1%
Other values (21)	233183	28.4%

Uppercase Letter

Value	Count	Frequency (%)
V	5738	6.5%
I	4909	5.6%
T	4717	5.4%
A	4418	5.0%
M	4365	5.0%
S	4139	4.7%
W	4139	4.7%
B	3911	4.4%
C	3765	4.3%
H	3734	4.2%
Other values (16)	44210	50.2%

Other Punctuation

Value	Count	Frequency (%)
/	36885	44.9%
.	15078	18.3%
:	13966	17.0%
@	7045	8.6%
,	3345	4.1%
#	3185	3.9%
?	636	0.8%
!	504	0.6%
;	429	0.5%
&	394	0.5%
Other values (5)	752	0.9%

Decimal Number

Value	Count	Frequency (%)
0	3463	14.2%
1	2770	11.4%
2	2757	11.3%
5	2357	9.7%
3	2274	9.4%
9	2191	9.0%
8	2176	8.9%
4	2137	8.8%
7	2105	8.7%
6	2087	8.6%

Other Symbol

Value	Count	Frequency (%)
🔹	4	30.8%
🌟	1	7.7%
💫	1	7.7%
🍕	1	7.7%
👩	1	7.7%
✈	1	7.7%
😊	1	7.7%
👋	1	7.7%
🏃	1	7.7%
😎	1	7.7%

Dash Punctuation

Value	Count	Frequency (%)
-	1124	51.0%
–	1070	48.5%
—	11	0.5%
―	1	< 0.1%

Math Symbol

Value	Count	Frequency (%)
+	40	76.9%
\|	10	19.2%
=	1	1.9%
~	1	1.9%

Final Punctuation

Value	Count	Frequency (%)
’	2911	90.8%
”	296	9.2%

Initial Punctuation

Value	Count	Frequency (%)
“	293	80.3%
‘	72	19.7%

Currency Symbol

Value	Count	Frequency (%)
$	53	62.4%
£	32	37.6%

Open Punctuation

Value	Count	Frequency (%)
(	99	99.0%
[	1	1.0%

Close Punctuation

Value	Count	Frequency (%)
)	101	99.0%
]	1	1.0%

Space Separator

Value	Count	Frequency (%)
	163726	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	710	100.0%

Format

Value	Count	Frequency (%)
‍	1	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
️	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	910481	76.7%
Common	277102	23.3%
Inherited	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	95238	10.5%
e	80052	8.8%
o	67102	7.4%
i	58175	6.4%
a	56329	6.2%
n	54767	6.0%
s	53854	5.9%
r	47748	5.2%
h	42652	4.7%
c	33336	3.7%
Other values (47)	321228	35.3%

Common

Value	Count	Frequency (%)
	163726	59.1%
/	36885	13.3%
.	15078	5.4%
:	13966	5.0%
@	7045	2.5%
0	3463	1.2%
,	3345	1.2%
#	3185	1.1%
’	2911	1.1%
1	2770	1.0%
Other values (45)	24728	8.9%

Inherited

Value	Count	Frequency (%)
‍	1	50.0%
️	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1182706	99.6%
Punctuation	4808	0.4%
Latin 1 Sup	57	< 0.1%
None	10	< 0.1%
Emoticons	2	< 0.1%
Dingbats	1	< 0.1%
VS	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	163726	13.8%
t	95238	8.1%
e	80052	6.8%
o	67102	5.7%
i	58175	4.9%
a	56329	4.8%
n	54767	4.6%
s	53854	4.6%
r	47748	4.0%
h	42652	3.6%
Other values (78)	463063	39.2%

Punctuation

Value	Count	Frequency (%)
’	2911	60.5%
–	1070	22.3%
”	296	6.2%
“	293	6.1%
…	153	3.2%
‘	72	1.5%
—	11	0.2%
―	1	< 0.1%
‍	1	< 0.1%

Latin 1 Sup

Value	Count	Frequency (%)
£	32	56.1%
ö	9	15.8%
é	7	12.3%
ç	6	10.5%
ó	2	3.5%
ü	1	1.8%

None

Value	Count	Frequency (%)
🔹	4	40.0%
🌟	1	10.0%
💫	1	10.0%
🍕	1	10.0%
👩	1	10.0%
👋	1	10.0%
🏃	1	10.0%

Dingbats

Value	Count	Frequency (%)
✈	1	100.0%

VS

Value	Count	Frequency (%)
️	1	100.0%

Emoticons

Value	Count	Frequency (%)
😊	1	50.0%
😎	1	50.0%

username
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

richardbranson	2009

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	28126
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	richardbranson
2nd row	richardbranson
3rd row	richardbranson
4th row	richardbranson
5th row	richardbranson

Common Values

Value	Count	Frequency (%)
richardbranson	2009	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
richardbranson	2009	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	6027	21.4%
a	4018	14.3%
n	4018	14.3%
i	2009	7.1%
c	2009	7.1%
h	2009	7.1%
d	2009	7.1%
b	2009	7.1%
s	2009	7.1%
o	2009	7.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	28126	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	6027	21.4%
a	4018	14.3%
n	4018	14.3%
i	2009	7.1%
c	2009	7.1%
h	2009	7.1%
d	2009	7.1%
b	2009	7.1%
s	2009	7.1%
o	2009	7.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28126	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	6027	21.4%
a	4018	14.3%
n	4018	14.3%
i	2009	7.1%
c	2009	7.1%
h	2009	7.1%
d	2009	7.1%
b	2009	7.1%
s	2009	7.1%
o	2009	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	6027	21.4%
a	4018	14.3%
n	4018	14.3%
i	2009	7.1%
c	2009	7.1%
h	2009	7.1%
d	2009	7.1%
b	2009	7.1%
s	2009	7.1%
o	2009	7.1%

mentions
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.378795421

Minimum	0
Maximum	25
Zeros	389
Zeros (%)	19.4%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	7
Maximum	25
Range	25
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.285492167
Coefficient of variation (CV)	0.9607771005
Kurtosis	9.869585863
Mean	2.378795421
Median Absolute Deviation (MAD)	1
Skewness	2.082529809
Sum	4779
Variance	5.223474445
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	450	22.4%
2	416	20.7%
0	389	19.4%
3	284	14.1%
4	168	8.4%
5	115	5.7%
6	85	4.2%
7	43	2.1%
8	26	1.3%
9	11	0.5%
Other values (7)	22	1.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	389	19.4%
1	450	22.4%
2	416	20.7%
3	284	14.1%
4	168	8.4%
5	115	5.7%
6	85	4.2%
7	43	2.1%
8	26	1.3%
9	11	0.5%

Value	Count	Frequency (%)
25	1	< 0.1%
20	2	0.1%
16	1	< 0.1%
13	3	0.1%
12	2	0.1%
11	6	0.3%
10	7	0.3%
9	11	0.5%
8	26	1.3%
7	43	2.1%

hashtags
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	17
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.582379293

Minimum	0
Maximum	36
Zeros	678
Zeros (%)	33.7%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	36
Range	36
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.083493301
Coefficient of variation (CV)	1.316683876
Kurtosis	53.58231976
Mean	1.582379293
Median Absolute Deviation (MAD)	1
Skewness	4.761415986
Sum	3179
Variance	4.340944336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	678	33.7%
1	555	27.6%
2	350	17.4%
3	178	8.9%
4	103	5.1%
5	63	3.1%
6	35	1.7%
7	19	0.9%
8	11	0.5%
10	6	0.3%
Other values (7)	11	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	678	33.7%
1	555	27.6%
2	350	17.4%
3	178	8.9%
4	103	5.1%
5	63	3.1%
6	35	1.7%
7	19	0.9%
8	11	0.5%
9	4	0.2%

Value	Count	Frequency (%)
36	1	< 0.1%
27	1	< 0.1%
20	1	< 0.1%
16	1	< 0.1%
15	1	< 0.1%
11	2	0.1%
10	6	0.3%
9	4	0.2%
8	11	0.5%
7	19	0.9%

cashtags
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

0	2009

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2009
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2009	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2009	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	2009	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2009	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2009	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2009	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2009	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2009	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2009	100.0%

video
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.953210553

Minimum	0
Maximum	36
Zeros	126
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	7
Maximum	36
Range	36
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.033778718
Coefficient of variation (CV)	0.6886670224
Kurtosis	34.11105516
Mean	2.953210553
Median Absolute Deviation (MAD)	1
Skewness	2.657671621
Sum	5933
Variance	4.136255872
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	437	21.8%
3	387	19.3%
1	380	18.9%
4	274	13.6%
5	186	9.3%
0	126	6.3%
6	109	5.4%
7	84	4.2%
8	15	0.7%
9	6	0.3%
Other values (2)	5	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	126	6.3%
1	380	18.9%
2	437	21.8%
3	387	19.3%
4	274	13.6%
5	186	9.3%
6	109	5.4%
7	84	4.2%
8	15	0.7%
9	6	0.3%

Value	Count	Frequency (%)
36	1	< 0.1%
10	4	0.2%
9	6	0.3%
8	15	0.7%
7	84	4.2%
6	109	5.4%
5	186	9.3%
4	274	13.6%
3	387	19.3%
2	437	21.8%

photos
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.762070682

Minimum	0
Maximum	10
Zeros	211
Zeros (%)	10.5%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	6
Maximum	10
Range	10
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.926212272
Coefficient of variation (CV)	0.6973797901
Kurtosis	0.01273807609
Mean	2.762070682
Median Absolute Deviation (MAD)	1
Skewness	0.6567127963
Sum	5549
Variance	3.710293718
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2	441	22.0%
1	367	18.3%
3	362	18.0%
4	255	12.7%
0	211	10.5%
5	178	8.9%
6	96	4.8%
7	75	3.7%
8	15	0.7%
9	7	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	211	10.5%
1	367	18.3%
2	441	22.0%
3	362	18.0%
4	255	12.7%
5	178	8.9%
6	96	4.8%
7	75	3.7%
8	15	0.7%
9	7	0.3%

Value	Count	Frequency (%)
10	2	0.1%
9	7	0.3%
8	15	0.7%
7	75	3.7%
6	96	4.8%
5	178	8.9%
4	255	12.7%
3	362	18.0%
2	441	22.0%
1	367	18.3%

urls
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.161772026

Minimum	0
Maximum	10
Zeros	65
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	7
Maximum	10
Range	10
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.937317539
Coefficient of variation (CV)	0.6127315707
Kurtosis	0.0501241763
Mean	3.161772026
Median Absolute Deviation (MAD)	1
Skewness	0.701837995
Sum	6352
Variance	3.753199249
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2	439	21.9%
3	379	18.9%
1	367	18.3%
4	298	14.8%
5	193	9.6%
6	125	6.2%
7	102	5.1%
0	65	3.2%
8	27	1.3%
10	7	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	65	3.2%
1	367	18.3%
2	439	21.9%
3	379	18.9%
4	298	14.8%
5	193	9.6%
6	125	6.2%
7	102	5.1%
8	27	1.3%
9	7	0.3%

Value	Count	Frequency (%)
10	7	0.3%
9	7	0.3%
8	27	1.3%
7	102	5.1%
6	125	6.2%
5	193	9.6%
4	298	14.8%
3	379	18.9%
2	439	21.9%
1	367	18.3%

replies_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	350
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	123.0652066

Minimum	0
Maximum	8817
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	18
Q1	44
median	74
Q3	125
95-th percentile	297.6
Maximum	8817
Range	8817
Interquartile range (IQR)	81

Descriptive statistics

Standard deviation	288.5967962
Coefficient of variation (CV)	2.345072212
Kurtosis	442.3735475
Mean	123.0652066
Median Absolute Deviation (MAD)	36
Skewness	17.28258706
Sum	247238
Variance	83288.11079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	27	1.3%
46	25	1.2%
53	25	1.2%
55	24	1.2%
28	23	1.1%
38	22	1.1%
63	21	1.0%
48	21	1.0%
45	20	1.0%
70	20	1.0%
Other values (340)	1781	88.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.2%
2	4	0.2%
3	4	0.2%
4	3	0.1%
5	5	0.2%
7	4	0.2%
9	6	0.3%
10	9	0.4%
11	4	0.2%
12	8	0.4%

Value	Count	Frequency (%)
8817	1	< 0.1%
3878	1	< 0.1%
3304	1	< 0.1%
2627	1	< 0.1%
2596	1	< 0.1%
2071	1	< 0.1%
2049	1	< 0.1%
1930	1	< 0.1%
1867	1	< 0.1%
1863	1	< 0.1%

retweets_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	651
Distinct (%)	32.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	293.0283723

Minimum	0
Maximum	32658
Zeros	4
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	27
Q1	79
median	162
Q3	325
95-th percentile	802
Maximum	32658
Range	32658
Interquartile range (IQR)	246

Descriptive statistics

Standard deviation	873.9606814
Coefficient of variation (CV)	2.982512152
Kurtosis	951.4422218
Mean	293.0283723
Median Absolute Deviation (MAD)	100
Skewness	27.07167542
Sum	588694
Variance	763807.2726
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
103	14	0.7%
55	14	0.7%
69	13	0.6%
104	12	0.6%
42	12	0.6%
52	11	0.5%
57	11	0.5%
56	11	0.5%
30	11	0.5%
65	11	0.5%
Other values (641)	1889	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.2%
1	6	0.3%
2	1	< 0.1%
3	3	0.1%
4	2	0.1%
6	2	0.1%
7	2	0.1%
9	1	< 0.1%
12	3	0.1%
13	2	0.1%

Value	Count	Frequency (%)
32658	1	< 0.1%
9954	1	< 0.1%
8895	1	< 0.1%
5809	1	< 0.1%
5520	1	< 0.1%
4986	1	< 0.1%
4520	1	< 0.1%
3795	1	< 0.1%
3768	1	< 0.1%
3711	1	< 0.1%

likes_count
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	1390
Distinct (%)	69.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1527.927825

Minimum	4
Maximum	191783
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	4
5-th percentile	177.8
Q1	506
median	943
Q3	1624
95-th percentile	3528
Maximum	191783
Range	191779
Interquartile range (IQR)	1118

Descriptive statistics

Standard deviation	5041.756848
Coefficient of variation (CV)	3.299734952
Kurtosis	1033.873191
Mean	1527.927825
Median Absolute Deviation (MAD)	503
Skewness	28.92064342
Sum	3069607
Variance	25419312.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
292	6	0.3%
733	5	0.2%
1346	5	0.2%
469	5	0.2%
440	5	0.2%
285	5	0.2%
146	5	0.2%
569	4	0.2%
1732	4	0.2%
322	4	0.2%
Other values (1380)	1961	97.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	2	0.1%
11	2	0.1%
15	1	< 0.1%
17	2	0.1%
18	1	< 0.1%
22	1	< 0.1%
24	1	< 0.1%
34	1	< 0.1%
35	1	< 0.1%

Value	Count	Frequency (%)
191783	1	< 0.1%
73045	1	< 0.1%
34477	1	< 0.1%
34375	1	< 0.1%
29123	1	< 0.1%
27495	1	< 0.1%
27332	1	< 0.1%
26741	1	< 0.1%
26578	1	< 0.1%
18663	1	< 0.1%

number of tweets
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.832752613

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	36
Range	35
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.667104918
Coefficient of variation (CV)	0.6958719196
Kurtosis	19.15326634
Mean	3.832752613
Median Absolute Deviation (MAD)	1
Skewness	2.611354534
Sum	7700
Variance	7.113448644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	416	20.7%
1	334	16.6%
3	328	16.3%
4	269	13.4%
5	220	11.0%
6	172	8.6%
7	122	6.1%
8	45	2.2%
10	36	1.8%
9	36	1.8%
Other values (10)	31	1.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	334	16.6%
2	416	20.7%
3	328	16.3%
4	269	13.4%
5	220	11.0%
6	172	8.6%
7	122	6.1%
8	45	2.2%
9	36	1.8%
10	36	1.8%

Value	Count	Frequency (%)
36	1	< 0.1%
31	1	< 0.1%
26	1	< 0.1%
20	1	< 0.1%
19	1	< 0.1%
15	1	< 0.1%
14	3	0.1%
13	4	0.2%
12	5	0.2%
11	13	0.6%

price
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	886
Distinct (%)	44.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.80929731

Minimum	7.190000057
Maximum	59.40999985
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	7.190000057
5-th percentile	9.890000343
Q1	10.00999991
median	10.11999989
Q3	10.5
95-th percentile	34.7019989
Maximum	59.40999985
Range	52.21999979
Interquartile range (IQR)	0.490000089

Descriptive statistics

Standard deviation	9.082022792
Coefficient of variation (CV)	0.6576745063
Kurtosis	7.031590401
Mean	13.80929731
Median Absolute Deviation (MAD)	0.1800003052
Skewness	2.710304085
Sum	27742.8783
Variance	82.48313799
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	59	2.9%
10.05000019	55	2.7%
10.03999996	54	2.7%
10.06000042	48	2.4%
10.02999973	44	2.2%
9.93999958	37	1.8%
9.970000267	32	1.6%
9.949999809	27	1.3%
9.960000038	27	1.3%
9.930000305	24	1.2%
Other values (876)	1602	79.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7.190000057	1	< 0.1%
7.21999979	3	0.1%
7.25	2	0.1%
7.260000229	2	0.1%
7.285000086	1	< 0.1%
7.300000191	1	< 0.1%
7.313333352	1	< 0.1%
7.320000172	1	< 0.1%
7.329999924	1	< 0.1%
7.340000153	1	< 0.1%

Value	Count	Frequency (%)
59.40999985	1	< 0.1%
57.15000153	1	< 0.1%
57	1	< 0.1%
56.72000122	1	< 0.1%
56	1	< 0.1%
55.90999985	1	< 0.1%
55.61333338	1	< 0.1%
55.55333328	1	< 0.1%
55.43000158	1	< 0.1%
55.19666672	1	< 0.1%

percent change
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	1499
Distinct (%)	74.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.0003943241337

Minimum	-0.1788092986
Maximum	0.2324612465
Zeros	211
Zeros (%)	10.5%
Negative	879
Negative (%)	43.8%
Memory size	15.8 KiB

Quantile statistics

Minimum	-0.1788092986
5-th percentile	-0.03199401991
Q1	-0.002001984164
median	0
Q3	0.002483840657
95-th percentile	0.03320967566
Maximum	0.2324612465
Range	0.4112705451
Interquartile range (IQR)	0.004485824822

Descriptive statistics

Standard deviation	0.02535074752
Coefficient of variation (CV)	64.28910977
Kurtosis	20.49384753
Mean	0.0003943241337
Median Absolute Deviation (MAD)	0.002024241281
Skewness	0.7639644945
Sum	0.7921971847
Variance	0.0006426603997
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	211	10.5%
-0.0009940584955	13	0.6%
-0.000995047631	9	0.4%
-0.000996038737	8	0.4%
0.001994063639	7	0.3%
0.000996038737	7	0.3%
-0.001990095262	7	0.3%
0.001004039041	7	0.3%
0.000995047631	6	0.3%
0.0009970318193	6	0.3%
Other values (1489)	1728	86.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.1788092986	1	< 0.1%
-0.1759999814	1	< 0.1%
-0.1708482385	1	< 0.1%
-0.1557392633	1	< 0.1%
-0.153645867	1	< 0.1%
-0.13323572	1	< 0.1%
-0.1296987434	1	< 0.1%
-0.1126911916	1	< 0.1%
-0.1090269469	1	< 0.1%
-0.1020030532	1	< 0.1%

Value	Count	Frequency (%)
0.2324612465	1	< 0.1%
0.2021445682	1	< 0.1%
0.1939780135	1	< 0.1%
0.1875311318	1	< 0.1%
0.1694205865	1	< 0.1%
0.1677524808	1	< 0.1%
0.1584459619	1	< 0.1%
0.1395193948	1	< 0.1%
0.1383826005	1	< 0.1%
0.1346715542	1	< 0.1%

bins
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

no change	1755
rise	129
drop	125

Length

Max length	9
Median length	9
Mean length	8.367844699
Min length	4

Characters and Unicode

Total characters	16811
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	drop
2nd row	rise
3rd row	drop
4th row	no change
5th row	no change

Common Values

Value	Count	Frequency (%)
no change	1755	87.4%
rise	129	6.4%
drop	125	6.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	1755	46.6%
change	1755	46.6%
rise	129	3.4%
drop	125	3.3%

Most occurring characters

Value	Count	Frequency (%)
n	3510	20.9%
e	1884	11.2%
o	1880	11.2%
	1755	10.4%
c	1755	10.4%
h	1755	10.4%
a	1755	10.4%
g	1755	10.4%
r	254	1.5%
i	129	0.8%
Other values (3)	379	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15056	89.6%
Space Separator	1755	10.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	3510	23.3%
e	1884	12.5%
o	1880	12.5%
c	1755	11.7%
h	1755	11.7%
a	1755	11.7%
g	1755	11.7%
r	254	1.7%
i	129	0.9%
s	129	0.9%
Other values (2)	250	1.7%

Space Separator

Value	Count	Frequency (%)
	1755	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15056	89.6%
Common	1755	10.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	3510	23.3%
e	1884	12.5%
o	1880	12.5%
c	1755	11.7%
h	1755	11.7%
a	1755	11.7%
g	1755	11.7%
r	254	1.7%
i	129	0.9%
s	129	0.9%
Other values (2)	250	1.7%

Common

Value	Count	Frequency (%)
	1755	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	16811	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	3510	20.9%
e	1884	11.2%
o	1880	11.2%
	1755	10.4%
c	1755	10.4%
h	1755	10.4%
a	1755	10.4%
g	1755	10.4%
r	254	1.5%
i	129	0.8%
Other values (3)	379	2.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	date	tweet	username	mentions	hashtags	video	photos	urls	replies_count	retweets_count	likes_count	number of tweets	price	percent change	bins
0	2017-09-29 16:00:00	Climate change creates huge opportunities for innovation, not least in transportation. Here’s one example https://t.co/yEPnQFirpo #RunOnLess https://t.co/ypbp5RmDZl How to develop a team of leaders: https://t.co/P0qc7kD55K @virginmobilecan #readbyrichard https://t.co/PSKjZgaGoo Exciting project to modernise Saudi Arabia & welcome tourists to beautiful undiscovered country & stunning landscape https://t.co/jIFLJ10wBe https://t.co/GUmn8qxdKJ @apolloxxxx Thank you for your kind words @RdzSaint Forget one, here’s 65 – not all on entrepreneurship, but all useful for an entrepreneur https://t.co/wTT9njdKlh As a kid one of my heroes was Lawrence of Arabia. Treat to see this restored train he blew up in Saudi Arabia https://t.co/jIFLJ10wBe https://t.co/X2SDLsHQU8 @sarah_robes15 Thank you Sarah, that’s lovely to hear. Next up - #FindingMyVirginity @ErranteMec I’m delighted to hear you enjoyed it. My new autobiography is out next month too, so good timing! #FindingMyVirginity Visited incredible UNESCO World Heritage Site, Mada’in Saleh. Privelige to see this awe-inspiring ancient ruin https://t.co/jIFLJ10wBe https://t.co/CtHQ1Rprsf Quite an experience to be in Saudi Arabia on the day women were given the right to drive for the 1st time https://t.co/jIFLJ10wBe https://t.co/mdFeQz4Q94 Just enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe	richardbranson	1	4	6	6	8	598	5520	6546	11	10.100000	-0.038095	drop
1	2017-09-30 09:30:00	My top ten quotes on inspiring leadership: https://t.co/CZ8XdWSm9z https://t.co/5eQHtxwivM Great to see @VirginMedia taking steps to better support disabled employees: https://t.co/l7Xqv7HhH4 https://t.co/7Utka0OpCP Some wonderful insight on what it means to be a modern leader in a @Virgin company: https://t.co/QFxvQ3VrsP #virginfamily #ReadByRichard https://t.co/alkxhgZZMt Enjoyed a fascinating visit to Saudi Arabia, a country where great change is taking place step by step https://t.co/jIFLJ10wBe https://t.co/MeIdSTqiay One area ripe for innovation is trucking. Yes, trucking. This challenge showed how https://t.co/yEPnQFirpo #RunOnLess https://t.co/BLDhkSXBmx	richardbranson	2	3	5	5	5	257	2132	2908	5	10.383333	0.028053	rise
2	2017-09-30 16:00:00	While I’m excited for the future, it’s interesting listening to reluctant futurist @benhammersley on #FutureVisions https://t.co/OINjUVo8j8 “Take every opportunity that presents itself” – great advice from CEO Merren McArthur: https://t.co/QFxvQ3VrsP #ReadbyRichard #VirginFamily https://t.co/M7KViw1lxQ So proud of my son @sambranson for making this moving documentary on the #BVI community, Help, hope & hurricanes https://t.co/rqaoJNEvug	richardbranson	2	4	1	1	3	83	281	1048	3	10.093334	-0.027929	drop
3	2017-10-01 09:30:00	Sustainable development advocate @MatsGranryd has joined @thebteamhq: https://t.co/4yZqBeIeUY https://t.co/8wI9eSvGgP While I have given up beef, could smarter grazing actually help reverse global warming? https://t.co/SsRsFltm2r #ReadbyRichard https://t.co/UWJC2xMMZa	richardbranson	2	1	2	2	2	103	229	798	2	10.266666	0.017173	no change
4	2017-10-01 16:00:00	My top ten quotes on inspiring leadership: https://t.co/CZ8XdWSm9z https://t.co/jIeRYXaHgY Supporting the animal populations of Necker & Moskito Island after the hurricanes: https://t.co/EtiGa2uRPy https://t.co/h7UPgeQCmU Fascinating insight on how gaming can be a force for good from @ian_livingstone and @playmob https://t.co/ICJ7Hm3EMZ #ReadbyRichard	richardbranson	2	1	2	2	3	95	489	1710	3	10.086667	-0.017532	no change
5	2017-10-02 09:30:00	Prohibition of drugs is harming public health more than it is helping it – it’s time for change https://t.co/DwKyejvmYh https://t.co/iSzEoWhP6k The opioid crisis is affecting all walks of life – we need to act now https://t.co/DwKyejvmYh https://t.co/FrZnXpMeZc The war on drugs has failed and the opioid crisis is a glaring example https://t.co/DwKyejvmYh https://t.co/3oqJqztPdE Thoughts with all affected by the terrible attack in #LasVegas. Keep safe & look out for one another. How do we develop courageous, moral corporate leaders who will build 100% #HumanAtWork organisations? https://t.co/lldBuvG5yF #ReadbyRichard https://t.co/pnLRcklinP	richardbranson	0	3	4	4	4	124	599	2420	5	10.150000	0.006279	no change
6	2017-10-02 16:00:00	It’s time to use pragmatism not ideology to tackle North America’s opioid crisis https://t.co/DwKyejvmYh https://t.co/wXvZw5cTBh Why leaders need to create a company culture: https://t.co/zDBN2tsCM6 #ReadbyRichard https://t.co/MehEeMIYMm I'm a huge lover of the great outdoors so thrilled to invest in @SMr_gear on @ABCSharkTank https://t.co/awLb5qPjWL #SharkTank https://t.co/V1bdwW9tRT Sorry to see Monarch go into administration. Brexit among reasons for sad loss of 50-year-old airline https://t.co/sF3YMJBCAz #readbyrichard Excited to invest in 12-year-old Carson's dream on @ABCSharkTank https://t.co/awLb5qPjWL #SharkTank @lockerboard https://t.co/jY6b6Aw220 @DiversabilityC @vmbusiness @VirginStartUp Best of luck with your pitch @haliwell51 Thank you, I thoroughly enjoyed it @LeonardoBittar It would make a tremendous difference Really enjoyed being a guest shark on @ABCSharkTank https://t.co/awLb5qPjWL #SharkTank https://t.co/m9Ebi2BG3P Inspiring entrepreneurs to chase their dreams on @ABCSharkTank https://t.co/awLb5qPjWL #SharkTank https://t.co/Ewhois5KsK Britain sinks from top to bottom of G7 growth table. Very sadly this is just the start of Brexit pain https://t.co/e6hXDWPl2h #readbyrichard My new autobiography #findingmyvirginity is released this week – pre-order it now: https://t.co/NnLINhjH4M https://t.co/iIPqxvrj3R The war on drugs has failed and the opioid crisis is a glaring example https://t.co/DwKyejvmYh https://t.co/fSB9dlidC9	richardbranson	5	8	8	8	10	308	691	2348	13	10.080000	-0.006897	no change
7	2017-10-03 09:30:00	Read this exclusive excerpt from my new autobiography #FindingMyVirginity https://t.co/UMc4qDzttj https://t.co/BdeGcHdUoS My life is not one long success story – so I hope it makes a good read #FindingMyVirginity https://t.co/UMc4qDzttj https://t.co/xfrjBjOFRn Here’s a sneak preview of my new autobiography #FindingMyVirginity https://t.co/UMc4qDzttj https://t.co/lHgj3rrgOf My top ten quotes on inspiring leadership: https://t.co/CZ8XdWSm9z https://t.co/kIgZEIiYFv The world opens up when we take a positive & optimistic view. We call it #Uptimism: https://t.co/MvbvolUnRw @VirginAustralia https://t.co/WaNPhY1vbD You can’t underestimate the power of positivity and the effect it can have https://t.co/MvbvolUnRw #Uptimism @VirginAustralia https://t.co/cq6UVuLcH6 My 5 top tips for having an Uptimist outlook in life https://t.co/MvbvolUnRw #Uptimism https://t.co/apdvPZ2yDS We’ve always got a smile on. We’ve always got our heads up: https://t.co/MvbvolUnRw @VirginAustralia https://t.co/lLoZcuv9LU We are the Uptimists – here’s to looking up with @VirginAustralia: https://t.co/MvbvolUnRw #Uptimism https://t.co/I82oN3Rq2F Tried to see if a fellow shark liked the water on @ABCSharkTank during @SimpleHabitApp pitch https://t.co/awLb5qPjWL #SharkTank	richardbranson	6	8	9	9	10	194	758	2992	10	10.091000	0.001091	no change
8	2017-10-03 16:00:00	I’m still finding my virginity every day – here’s my intro to #FindingMyVirginity https://t.co/UMc4qDzttj https://t.co/sSUnlHFxuy Exciting to see #RunonLess prove available tech could unlock $24 billion for North American trucking: https://t.co/nkxvAyVg1U @cwarroom https://t.co/xUb5E0mCQj Never lose the thrill of trying something for the first time https://t.co/X9WPrDSX1m #FindingMyVirginity https://t.co/Tch3HraS1B @UnleashedSimply Thank you, I hope you enjoy it #findingmyvirginity @sonaysuleyman That’s lovely, thank you for sharing @gemma_rodgers @Virgin Hope you enjoy the evening Gemma #findingmyvirginity 50 years after starting out in business I share the good times and the tough times in #FindingMyVirginity https://t.co/UMc4qDzttj https://t.co/4SlWi6HJCx	richardbranson	1	6	4	4	4	92	231	1179	7	10.100000	0.000892	no change
9	2017-10-04 09:30:00	How can you compete with other businesses when it comes to innovation? https://t.co/SSeCqcmGgf https://t.co/dxKeqc3crO How do you come up with improvements and solutions for your business? https://t.co/SSeCqcmGgf https://t.co/frvTaC4DbP How have you helped your business innovate? https://t.co/SSeCqcmGgf https://t.co/7sdtcgzYaF How to lead a team to do something that’s never been done before: https://t.co/u6hacrBEji #ReadByRichard https://t.co/UZDNdCwRvZ Gun violence in America, explained in 17 maps and charts https://t.co/fPspJkp03H #readbyrichard	richardbranson	0	2	4	4	5	123	438	1130	5	10.100000	0.000000	no change

Last rows

	date	tweet	username	mentions	hashtags	video	photos	urls	replies_count	retweets_count	likes_count	number of tweets	price	percent change	bins
1999	2021-07-13 09:30:00	@Heather92294377 @virgingalactic @SpaceHumanity @omaze Good luck! @FaisalIqbalCric @virgingalactic Yes they do! @jgiegel @virgingalactic Thank you Josh and all the team! #VirginFamily @TheNotoriousMMA Thanks for your kind words @ChrisConwayca @virgingalactic So happy to hear this Chris – thank you for sharing. @ABCSharkTank From the seas to the stars	richardbranson	0	1	0	0	0	51	12	527	6	40.340000	-0.008602	no change
2000	2021-07-13 16:00:00	Welcome to space astronauts. https://t.co/Wyzj0nOBgX @virgingalactic #Unity22 https://t.co/9R0ontiS6L @ParisHilton @virgingalactic Thank you for the kind words Paris. @TEDchris Much appreciated Chris. @bertrandpiccard @virgingalactic What kind words Bertrand, means a lot from a fellow adventurer. Thank you. @AinslieBen @virgingalactic Thank you Ben!	richardbranson	1	1	1	0	1	400	543	6149	5	37.759998	-0.063956	drop
2001	2021-07-14 16:00:00	As always, enjoyed chatting to @StephenAtHome on the @colbertlateshow about the experience of space and how I fulfilled my promise of taking him to space with me: https://t.co/RT3dK5xSXK @virgingalactic #Unity22	richardbranson	3	1	0	0	1	132	74	854	1	33.070000	-0.112691	drop
2002	2021-07-15 09:30:00	Welcome home @VirginAtlantic. Great to see you back in Terminal 3 at @HeathrowAirport: https://t.co/4QrDLRfDuI #VirginFamily https://t.co/yRpNzbr2YH @virginhyperloop @virgingalactic Fantastic work.	richardbranson	2	1	1	0	1	83	107	1175	2	33.029999	-0.001210	no change
2003	2021-07-15 16:00:00	@VirginUnite Such an important message @VirginUnite Always: a letter to my mum: https://t.co/w7MILeapLv #Unity22 @VirginGalactic https://t.co/Gv9rjSfKAS	richardbranson	2	1	1	0	1	298	698	5740	2	31.740000	-0.039055	drop
2004	2021-07-16 09:30:00	My world. https://t.co/HpG3ZcCOKW #Unity22 @HollyBranson @virgingalactic https://t.co/DYYdYj81NA Today, @TheElders are reflecting on Nelson Mandela’s legacy and looking at its relevance to current challenges. Join them during a special live online event (3pm BST / 10am EDT) as they address our global need for a #StateOfHope: https://t.co/iF21HLAiUn https://t.co/kPk3Vu5Y9o Featuring Seedlip founder Ben Branson (no relation), the next @VirginStartUp will give you the inside track on starting and scaling a food and drink business. Brilliant. Tickets are free but limited, so sign up here: https://t.co/gDTGn6pm2w https://t.co/EFyAsLFUOy	richardbranson	4	2	3	2	3	430	367	4855	3	32.540001	0.025205	no change
2005	2021-07-18 09:30:00	An unforgettable moment. #Unity22 @virgingalactic https://t.co/8WnseIXTtR	richardbranson	1	1	1	0	0	464	815	10141	1	30.480001	-0.014655	no change
2006	2021-07-19 09:30:00	The moment we saw Earth from space... @virgingalactic #Unity22 https://t.co/LTHSKqABAj Wonderful to hear the story behind @VyableB - a business launched with support from @VirginStartUp: https://t.co/wHiuI5a5zh https://t.co/x2FWFQ9uoe @HallaTomas @HollyBranson Thanks Halla - very happy I did! @VirginActiveOz Thank you team @VirginBalloons Thanks team @Virgin Thanks to all the #VirginFamily @VirginAtlantic Thank you team @VirginLimitedEd Thanks! @VirginActiveUK Thank you to all the team @VirginMENA Thank you team @virginhyperloop Thanks team @jgiegel Thanks Josh - and for the seat! @nathanielpeat Happy belated birthday to you too! @VirginHotelsLV Thanks team! @VirginVoyages Thanks to all the crew @RoyaMahboob Thanks very much Roya! @virgingalactic Thanks team @Astro_Cady @virgingalactic Many thanks Cady @WildAid Thanks to all the team for all your wonderful work @HollyBranson Thanks Holly, love you too	richardbranson	3	2	2	1	1	440	698	8142	20	29.450001	-0.070000	drop
2007	2021-07-19 16:00:00	Virgin Mobile Canada has become @virginplus – reflecting its evolving service offering: https://t.co/YPnUK2HILc #VirginFamily https://t.co/O9CunM6oQh	richardbranson	1	1	1	0	1	46	29	292	1	32.400002	0.100170	rise
2008	2021-07-20 16:00:00	@virginplus Brilliant! @virginhotels @VirginVoyages @belvederevodka Love the teamwork. @VirginHotels @VirginVoyages Well done @blueorigin, @jeffbezos, Mark, Wally and Oliver. Impressive! Very best to all the crew from me and all the team at @virgingalactic	richardbranson	5	0	0	0	0	422	1047	14275	3	32.029999	0.030235	rise

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Other Symbol

Dash Punctuation

Math Symbol

Final Punctuation

Initial Punctuation

Currency Symbol

Open Punctuation

Close Punctuation

Space Separator

Connector Punctuation

Format

Nonspacing Mark

Most occurring scripts

Most frequent character per script

Latin

Common

Inherited

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

Latin 1 Sup

None

Dingbats

VS

Emoticons

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations